Artificial Intelligence (AI) This term refers to a computing system to perform tasks considered in the field of human decision-making. These software-driven systems and intelligent agents contain * Data analysis and big data applications. Artificial intelligence system to use this knowledge to make decisions and carry out actions similar cognitive functions, including learning and problem solving.
Artificial intelligence is a field of science as introduced in the mid-1950s, the rapid development in recent years. It has become an important tool for coordination and management of digital technology business operations. Particularly useful are the progress of artificial intelligence, machine learning and deep learning.
It is important to recognize that the goal of artificial intelligence is a constantly changing. Once considered something belongs to the field of artificial intelligence, such as optical character recognition and computer chess, now considered conventional computing. Today, robotics, image recognition, natural language processing, real-time analysis tools and a variety of connection systems of Things (IOT) are used in artificial intelligence, to provide more advanced features and capabilities.
Help develop artificial intelligence is that many cloud-based artificial intelligence to provide services. Statistica company expects that by 2025, artificial intelligence will exceed the annual growth rate of 127%, the market will reach $ 4.8 billion. Consultancy Accenture (Accenture) report, "2035, artificial intelligence by changing the nature of work, and a new relationship between man and machine to achieve the economic growth rate to double." Not surprisingly, observers *** in this technology to business and daily life, but also the technology was propaganda.
AI has wide application in many business areas
History of artificial intelligence: copy human thinking
Development can mimic human cognition dream machine can be traced back centuries ago. In the 1890s, such as HGWells science fiction writers began to explore the concept of robots and other machines, these machines think and behave like humans.
However, until the early 1940s, the concept of artificial intelligence was true to form. After Alan Turing proposed computational theory (essentially how the machine uses algorithms to produce a machine "think"), other researchers began to explore ways to create artificial intelligence framework.
In 1956, Dartmouth College researchers began the practical application of artificial intelligence. This includes using the computer to play checkers game, the level can beat most people. In the ensuing decades, people's enthusiasm for artificial intelligence gradually subside.
In 1997, IBM has developed a chess computer Deep Blue (DeepBlue) beat the world chess champion Garry Kasparov. In 2011, IBM introduced the Watson, it uses a more sophisticated technologies, including the depth of learning and machine learning, defeated two Jeopardy champions. The well-known American Jeopardy game show.
Although artificial intelligence continue to evolve over the next few years, but observers often in 2015 as a milestone in artificial intelligence. Google cloud, Amazon Web Services (AWS), Microsoft (Microsoft), Microsoft Azure and other companies began to strengthen research, improve natural language processing capabilities, developers of computer vision and analysis tools. Dalian Professional Women's Hospital http://mobile.dlfkyy.net/
Today, more and more embedded artificial intelligence applications and tools. Including business analysis program and other digital assistant Siri and Alexa, and autonomous vehicles and facial recognition.
Different forms of artificial intelligence
Artificial intelligence is a smart cover any and all machines in general. However, the use of artificial intelligence research, and there are several distinct areas - although they sometimes overlap. These include:
• Universal Artificial Intelligence. These systems typically learn from the world around them, and a way to cross-domain application data. For example, Google now all DeepMind using neural network learning how humans are playing video games.
· Natural Language Processing (NLP). This technology enables the machine to read, understand and interpret human language. Natural Language Processing (NLP) uses statistical methods to understand the syntax and semantics of programming, and in some cases, you can also understand the human system interacting with the bot author or other emotions.
· Machine Perception. In the past few years, the related art sensors (cameras, microphones, accelerometers, GPS, radar, etc.) to promote the tremendous advances Machine Perception, including speech recognition and for face and object recognition in computer vision.
·robot. Robotic equipment is widely used in factories, hospitals and other places. In recent years, unmanned aerial vehicles began to apply. These systems rely on complex mapping and complex programming, but also the use of Machine Perception to accomplish the task.
· Social intelligence. Autonomous vehicles, robots and digital assistants (such as Siri and Alexa) need to coordinate and adjust. Therefore, these systems must understand human behavior and understanding of social norms.